Evidence map›Paper›PMID 39920131›Full record

ArticleNature communications2025

A non-electrical pneumatic hybrid oscillator for high-frequency multimodal robotic locomotion.

Genliang Chen, Yongzhou Long, Siyue Yao, Shujie Tang, Junjie Luo, Hao Wang, Zhuang Zhang, Hanqing Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Genliang Chen *State Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, China. leungchan@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-1011-2116
Yongzhou Long *State Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, China.
Siyue YaoState Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, China.ORCID http://orcid.org/0000-0003-2562-3055
Shujie TangState Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, China.
Junjie LuoState Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, China.
Hao WangState Key Laboratory of Mechanical Systems and Vibration, Shanghai Jiao Tong University, Shanghai, China.
Zhuang ZhangAcademy for Engineering and Technology, Fudan University, Shanghai, China. zhangzhuang@fudan.edu.cn.ORCID http://orcid.org/0000-0002-3834-3477
Hanqing JiangSchool of Engineering, Westlake University, Hangzhou, Zhejiang, China. hanqing.jiang@westlake.edu.cn.ORCID http://orcid.org/0000-0002-1947-4420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pneumatic oscillators, incorporating soft non-electrical logic gates, offer an efficient means of actuating robots to perform tasks in extreme environments. However, the current design paradigms for these devices typically feature uniform structures with low rigidity, which restricts their oscillation frequency and limits their functions. Here, we present a pneumatic hybrid oscillator that integrates a snap-through buckling beam, fabric chambers, and a switch valve into its hybrid architecture. This design creates a stiffness gradient through a soft-elastic-rigid coupling mechanism, which substantially boosts the oscillator's frequency and broadens its versatility in robotic applications. Leveraging the characteristic capabilities of the oscillator, three distinct robots are developed, including a bionic jumping robot with high motion speed, a crawling robot with a pre-programmed logic gait, and a swimming robot with adjustable motion patterns. This work provides an effective design paradigm in robotics, enabling autonomous and efficient execution of complex, high-performance tasks, without relying on electronic control systems.

Identifiers

PMID39920131
PMCPMC11806074

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.